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影响因子：6.9

DOI码：10.1016/j.applthermaleng.2026.129791

发表刊物：Applied Thermal Engineering

关键字：lithium-ion batteries; Electro-thermal-mechanical coupling behaviors; Dynamic mathematical characterization

摘要：The strong cross-coupling among electrical, thermal, and mechanical behaviors in lithium-ion batteries pose significant challenges to accurate dynamic mathematical characterization. The core innovation lies in developing an incremental integration of existing electro, thermal, mechanical models, to dynamically characterize of electro-thermal-mechanical coupling behaviors of lithium-ion batteries. The electrical behaviors are captured by a first-order RC equivalent circuit model, the thermal behaviors are captured by a lumped-parameter thermal model, and the mechanical behaviors are captured by an equivalent strain model based on the solid-state diffusion theory and the thermal expansion theory. The coupling model parameters are identified online via the Forgetting Factor Recursive Least Squares. Experimental results under FUDS and WLTC, across various ambient temperatures and battery aging levels indicate that, the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of the voltage estimation results remain below 20 mV and 35 mV, the MAE and RMSE of the temperature estimation results remain below 0.1 ◦C and 0.15 ◦C, the MAE and RMSE of the strain estimation results remain below 2.5με and 3.0με. Furthermore, the more innovation conclusion is that, the thermal resistance exhibits an overall increasing trend as the battery aging, but no clear dependence of it on the ambient temperature is identified. The dynamic temperature strain coefficient shows a notable dependence on the battery aging level, the average standard deviations of the it for fresh and aged batteries are 0.12με and 0.25με, respectively, representing a more than twofold difference. In contrast, the dynamic SOC strain coefficient does not demonstrate such a trend.

备注：中科院1区Top

合写作者：Changpeng Tan

第一作者：Muyao Wu

论文类型：期刊论文

通讯作者：Li Wang

论文编号：129791

学科门类：工学

文献类型：J

卷号：289

ISSN号：1359-4311

是否译文：否

发表时间：2026-01-17

收录刊物：SCI、EI

发布期刊链接：https://www.sciencedirect.com/science/article/abs/pii/S1359431126000992